key: cord-1044257-72au3uv2 authors: Begue, Floran; Tanaka, Sébastien; Mouktadi, Zarouki; Rondeau, Philippe; Veeren, Bryan; Diotel, Nicolas; Tran-Dinh, Alexy; Robert, Tiphaine; Vélia, Erick; Mavingui, Patrick; Lagrange-Xélot, Marie; Montravers, Philippe; Couret, David; Meilhac, Olivier title: Altered high-density lipoprotein composition and functions during severe COVID-19 date: 2021-01-27 journal: Sci Rep DOI: 10.1038/s41598-021-81638-1 sha: 3f60db4591b4a67b1d5a382d7eae51fb4f09a975 doc_id: 1044257 cord_uid: 72au3uv2 Coronavirus disease 2019 (COVID-19) pandemic is affecting millions of patients worldwide. The consequences of initial exposure to SARS-CoV-2 go beyond pulmonary damage, with a particular impact on lipid metabolism. Decreased levels in HDL-C were reported in COVID-19 patients. Since HDL particles display antioxidant, anti-inflammatory and potential anti-infectious properties, we aimed at characterizing HDL proteome and functionality during COVID-19 relative to healthy subjects. HDLs were isolated from plasma of 8 severe COVID-19 patients sampled at admission to intensive care unit (Day 1, D1) at D3 and D7, and from 16 sex- and age-matched healthy subjects. Proteomic analysis was performed by LC-MS/MS. The relative amounts of proteins identified in HDLs were compared between COVID-19 and controls. apolipoprotein A-I and paraoxonase 1 were confirmed by Western-blot analysis to be less abundant in COVID-19 versus controls, whereas serum amyloid A and alpha-1 antitrypsin were higher. HDLs from patients were less protective in endothelial cells stiumalted by TNFα (permeability, VE-cadherin disorganization and apoptosis). In these conditions, HDL inhibition of apoptosis was blunted in COVID-19 relative to controls. In conclusion, we show major changes in HDL proteome and decreased functionality in severe COVID-19 patients. . General characteristics and outcome of ICU COVID-19 patients and control subjects. BMI, body mass index; ECMO, extracorporeal membrane oxygenation; LOS, length of stay; RRT, renal replacement therapy; SAPS II, simplified acute physiology score II. Characteristics ICU COVID-19 (n = 8) Age, years, median [IQR] 51 [46] [47] [48] [49] [50] [51] [52] [53] [54] [55] [56] [57] [58] [59] [60] [61] [62] 50.5 [46] [47] [48] [49] [50] [51] [52] [53] [54] [55] [56] [57] Male sex, n (%) 5 (63) 9 (56) BMI, kg/m 2 , median [IQR] 29 [23] [24] [25] [26] [27] [28] [29] [30] [31] 23.5 [22] [23] [24] [25] [26] High blood pressure, n (%) 1 (12.5) 2 (12.5) Diabetes mellitus, n (%) 1 (12.5) 0 (0) Statin use, n (%) 1 (12.5) 0 (0) Between first symptoms and hospitalization (days) 8 [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] Scientific Reports | (2021) 11:2291 | https://doi.org/10.1038/s41598-021-81638-1 www.nature.com/scientificreports/ ECMO. Renal replacement therapy was necessary for 12.5% of patients. Day-28 mortality was 37.5% whereas ICU and hospital length of stay were 16 and 22 days respectively. Lipid profiles were significantly affected by COVID-19 with decreased total cholesterol, HDL-C and LDL-C levels and increased triglyceride concentration at admission (D1) relative to control subjects ( Table 2 ). Plasma ApoA-I quantified by mass spectrometry was decreased by 55% in patients versus controls. A good correlation was observed between ApoA-I and HDL-C levels (r = 0.94, p < 0.0001, Supplemental Figure 1 ). performed on 3 μg total proteins and the resulting peptides were desalted and subsequently analyzed by LC-MS/ MS as described in the "Methods" section. The following criteria were used in order to identify HDL-associated proteins in all samples (D1 COVID-19 and control HDL samples): q-values ≤ 0.01, unique peptides ≥ 2 and Xcorr ≥ 2. MS/MS spectra were searched against Uniprot Human database, using the Sequest HT search engine. For proteins with unique peptide below two, MS/MS spectra were manually inspected. Detailed information is given in the Supplementary Table 1 Table 1 ). Among them, 32 proteins met the above-mentioned criteria allowing a high degree of confidence for identification (Table 3 ). All these proteins have already been previously found associated with HDL fractions using proteomic approaches 17, 18 . We identified 5 proteins that were significantly more abundant in HDLs from COVID-19 patients, namely serum amyloid A-1 and 2 (SAA-1, 2), alpha-1 anti-trypsin (AAT), fibrinogen beta chain and alpha-1 acid glycoprotein. Conversely, 19 proteins were less abundant in COVID-19 versus control HDLs. In addition to ApoA-I, most of the apolipoproteins classically associated with HDLs were less abundant in COVID-19 HDL particles, including ApoA-II, ApoC-I, II, III, IV, ApoA-IV, ApoC-I, ApoJ, Apo(a), ApoE, ApoM, ApoD, ApoB100 and ApoF. Other proteins were also less abundant in HDLs from COVID-19 patients such as paraoxonases 1 and 3 (PON-1 and 3) ( Table 3 , Figs. 1 and 2) . None of the proteins identified in HDLs were differential between D1 and D7 nor correlated with subsequent mortality (4 survivors vs 4 non-survivors, Supplementary Table 2 ). However, 6 proteins were significantly correlated with SAPSII, 5 of which were negatively correlated with severity (phospholipid transfer protein (PLTP), ApoAI, ApoAII, Serum Paraoxonase 3 and serum amyloid A1), whereas apo(a) was positively correlated with severity (Supplementary Figure 2) . Western-blot analysis was performed on selected proteins in order to confirm mass spectrometry identification and abundance comparison between COVID-19 and control conditions: SAA-1, PON-1 (Fig. 3A ,B) and AAT (Supplemental Figure 3 ). SAA-1 was abundantly associated with HDLs isolated from COVID-19 patients relative to that of controls. No trend was observed for SAA-1 abundance according to the number of days postadmission (D1, 3 and 7) and whether patients survived (C3+, C4+, C5+, C6 +) or not (C1+, C2+, C7+, C8+). PON-1 is known to be mainly transported by HDLs but can also bind to LDLs. We tested the presence of PON-1 by western-blot in LDL and HDL fractions from a pool of controls, severe COVID-19+ ICU patients (C+) and seropositive cured caregivers who did not need to be admitted in ICU (n = 4, Sero+). PON-1 is markedly less associated with HDLs from severe C+ ICU patients, thus confirming mass spectrometry results, whereas LDLassociated PON-1 was rather constant in all three groups (Fig. 3B ). Since neutrophils are activated in COVID-19 and able to release proteases such as elastase, in association with a pro-thrombotic state involving the fibrinolytic system 19 , we tested the hypothesis that elastase and plasmin could degrade HDL-associated PON-1. Both proteases, alone or in combination were able to proteolyse PON-1 associated with HDLs from a pool of controls (n = 16) (Fig. 3B, right panel) . Anti-inflammatory effects of HDLs on TNFα-stimulated human umbilical vein endothelial cells. Beyond their function as reverse transporter of cholesterol from peripheral tissues back to the liver, HDLs display endothelial protective properties 8 . We tested the anti-inflammatory effects of HDLs from patients or healthy subjects on HUVECs stimulated by TNFα. After 6 h serum deprivation allowing a better uptake of HDLs, HUVECs were incubated with 30 ng/mL of TNFα and the impedance was monitored for 36 h. Changes in cell index reflecting cell retraction and loss in cell-cell junctions was plotted over time as shown in Fig. 4 . TNFα-induced decrease in cell index was prevented by co-incubation with HDLs from healthy subjects whereas HDLs isolated from COVID-19 patients displayed a reduced protective effect (% of HDL protection relative Fig. 4A ). Figure 4 shows representative cell index curves of endothelial cells stimulated by TNFα alone and in the presence of pooled HDLs (n = 16 controls and n = 8 COVID-19). In the COVID-19 group, a trend towards a better protection of HDLs from survivors relative to non-survivor patients was observed (p = 0.057, Supplemental Figure 4B ). TNFα. In addition, to prevent endothelial barrier permeability, HDLs are able to counteract apoptosis induced by TNFα 20 . After 36 h stimulation with TNFα, 37% of endothelial cells displayed characteristic apoptotic nuclear condensation and/or fragmentation 21 , as shown in Fig. 5 (plain white arrowheads) and Fig. 6 by TUNEL. A good correspondence was observed between nuclear changes quantified after DAPI staining and TUNEL ( Fig. 6 ). HDLs from healthy subjects prevented apoptosis by 40% (reducing the % of apoptotic cells to 22%), whereas HDLs from patients were not able to thwart TNFα-induced apoptosis. In controls, the number of apoptotic nuclei corresponds to 11%, probably due to serum deprivation. Given that VE cadherin plays a key role in endothelial cell survival 22 , VE-cadherin immunostaining was performed ( Fig. 5 ) and showed that TNFα induced a significant disorganization of cell-cell junctions characterized by a redistribution of VE-cadherin into the cytoplasm (empty white arrowheads). This disruption of cell-cell interactions by TNFα was, at least partially, prevented by co-incubation with HDLs isolated from non-COVID-19 subjects (HDL-) whereas HDL from COVID-19+ patients (HDL+) had no protective effect. COVID-19 has emerged as a real threat to public health, characterized by damage to the respiratory tract, followed by an uncontrolled inflammatory response that can lead to organ failure and death 23 . A major impact of COVID-19 on the main metabolic parameters, and in particular on the lipid profile, has been reported by several authors, resulting mainly in a very significant drop in total cholesterol, LDL-C and HDL-C levels 2,4,6,24 . In the present study, we also observed very low HDL-C levels in patients as compared to controls and to normal values, whereas triglyceride concentration was doubled in COVID-19 patients. The prolonged use of Propofol (> 3 days) is reported to increase triglyceride levels in ICU patients 25 and thus should not be the cause of the elevated levels observed at D1 in our study. Decreased levels of total cholesterol and cholesterol-transporting lipoproteins have been reported for a long time in ICU patients, particularly in bacterial sepsis, in which HDL particles may participate in lipopolysaccharide clearance 7, 26 . In viral sepsis, the situation is less clear-cut even if lipid profile disorders have been reported in Dengue, HIV or Hepatitis infections [27] [28] [29] . A recent study in COVID-19 patients reports reduced plasma ApoA-I, ApoA-II and Apo-B levels as well as decreased LDL particle number and HDL subfractions assessed by nuclear magnetic resonance 30 . They also report increased LDL triglycerides and of VLDL parameters (particle number, free cholesterol and triglycerides) in these patients. Decreased HDL-C was also recently reported to be associated with the severity of COVID-19 4,31 . www.nature.com/scientificreports/ Beyond quantitative aspects reporting levels of LDL-C, HDL-C and total cholesterol, very few studies focus on lipoprotein composition and functionality. High-density lipoproteins are important for cholesterol metabolism, but also display major pleiotropic functions that could play a pivotal role in acute inflammatory conditions. A large body of evidence suggests that HDLs are globally protective for the endothelial layer, due to their antioxidant, anti-inflammatory, anti-apoptotic and anti-thrombotic functions 8 . HDL endothelial protective effects have been shown to be crucial in bacterial sepsis or lung emphysema, in which supplementation with functional HDLs or ApoA-I particles limited the deleterious effects of acute inflammation 32, 33 . Both HDL composition and functionality are profoundly modified under pathological conditions, in cardiovascular disease 11, 13 and in endotoxemia inflammation 34 . A recent proteomic analysis of plasma from septic patients secondary to communityacquired pneumonia and hospital acquired pneumonia demonstrated that proteins associated with HDLs were markedly decreased, including ApoA-I, C-I, A-IV, L1 and paraoxonase 1 whereas proteins of the acute phase . Bar graphs represent the percentage of intensity ± SD of the two groups. Unpaired t-test was used. *p < 0.0332, **p < 0.0021, ***p < 0.0002 and ****p < 0.0001 as compared to the control group. www.nature.com/scientificreports/ were increased (SAA, CRP, etc.) relative to control subjects 35 . In the present study, we aimed at characterizing HDL protein composition and endothelial protective effect by a mass-spectrometry-based proteomic approach in COVID-19 patients. HDL fraction was isolated by ultracentrifugation, starting form a small volume of plasma (400 μL). Although this method is the gold standard for lipoprotein isolation, some proteins may be lost during the two steps of ultracentrifugation, and the sensitivity for proteomic identification may be insufficient to discover low-abundance proteins, due to the small amount of plasma initially available. However, under these conditions, we identified 83 proteins associated with HDLs. Among these proteins, most of the expected apolipoproteins associated with HDL were decreased, including ApoA-II, ApoC-I, II, III, IV, ApoA-IV, ApoC-I, ApoJ, Apo(a), ApoE, ApoM, ApoD, ApoB100 and ApoF. In addition, other proteins including beta2-glycoprotein 1, CD44 antigen and serum paraoxonases 1 and 3 were also less abundant in HDLs from COVID-19 patients. Paraoxonase 1 plays an important role in antioxidant HDL functions and was shown to be decreased in septic patients 36, 37 . Here, we show that PON-1 is less abundant on HDL particles isolated from COVID-19 patients. We tested the www.nature.com/scientificreports/ possibility of a proteolytic degradation of this antioxidant enzyme by elastase and plasmin. Neutrophil activation during COVID-19 produces elastase release potentially associated with neutrophil extracellular traps as well as an increased thrombus formation, leading to production of plasmin 19, 38 . Both enzymes incubated with HDLs isolated from healthy subjects were able to degrade PON-1, suggesting that plasmin and/or elastase may participate in the decreased levels of HDL-associated PON-1. Conversely, other proteins were found to be more abundant in HDLs from COVID-19 patients, such as SAA-1 and 2, alpha-1 antitrypsin (AAT) and alpha-1 acid glycoprotein 1, considered as acute phase proteins. In a previous study, we reported an increased abundance of www.nature.com/scientificreports/ AAT associated with HDLs from ischemic stroke patients 11 . Here we have confirmed the proteomic results by western blot (Supplemental Figure 2 ) for AAT and SAA-1 that were clearly markedly associated with HDLs from COVID-19 patients. SAA has been shown to represent the most abundant protein of HDLs at the start of the sepsis and is then slowly replaced by ApoA-I during recovery 39 . In COVID-19, plasma SAA has recently been suggested as a biomarker of severity; patients with high initial levels of SAA levels were more likely to have poor computed tomography imaging 40 . SAA was suggested as a predictor of prognosis in patients with COVID-19, being significantly higher in non-survivors versus survivors, with a higher sensitivity relative to CRP 41 . In the present study, no difference was observed between survivors and non-survivors for any protein identified in HDLs from COVID-19 patients; this may be due to the small number of patients (4 survivors and 4 non-survivors). Surfactant-associated protein B (SAPB) was found in HDLs but was not significantly more abundant in COVID-19 patients, albeit a trend was observed. SAPB has been identified previously in HDLs and shown to impair their antioxidant capacity 42 . SABP has also been identified in HDLs from patients with end-stage renal disease, along with SAA and Apo C-II; these particles had reduced anti-inflammatory capacity 43 . High levels of HDL-associated SAPB were also found to predict mortality in heart failure patients 44 . ApoA-I levels are significantly decreased in COVID-19 patients, suggesting a decreased synthesis by the liver and/or its replacement by SAA in HDLs. A recent study also reports decreased serum HDL-associated 45 . In inflammatory conditions, SAA synthesis by the liver is increased and this acute phase protein was shown to associate with dense HDL particles (HDL 3 ) 46,47 . We then tested potential correlations between HDL-associated protein abundance and the severity of COVID-19, assessed using SOFA (Sepsis-related Organ Failure Assessment) score or SAPSII (Simplified Acute Physiology Score II). Negative correlations were observed between severity at admission (SAPSII) and ApoA-I, ApoA-II, phospholipid transfer protein (PLTP), serum paraoxonase 3 and SAA1, whereas apolipoprotein(a) was positively correlated with SAPSII. Apo(a) has been suggested to be an aggravating factor in COVID-19 due to its pro-thrombotic properties 48 , but there is currently no experimental or clinical data supporting this hypothesis. No correlation was observed between the SOFA score and any of the proteins identified in HDLs. This score is mainly related to sepsis and may not be very discriminating between patients, since COVID-19 is initially characterized by a severe pneumonia. www.nature.com/scientificreports/ In addition to important modifications in protein cargo, we demonstrate that HDLs from COVID-19 patients were less protective for endothelial cells stimulated with TNFα than HDLs from healthy subjects. During COVID-19, increased endothelial permeability is expected to play an important role in organ failure subsequently to the SARS-Cov2 cytokine inflammatory storm 49 . We tested the protective effects of HDLs from patients and controls in HUVECs stimulated with TNFα. Endothelial barrier dysfunction was monitored by xCELLigence real-time cell analysis. Endothelial adherent cells impede the electron flow (impedance); this parameter is expressed as arbitrary units called cell index, and shown to decrease in case of detachment and increased permeability 50 . HDLs from COVID-19 patients displays a blunted protective effects against HUVEC permeability, VE-cadherin peripheral belt the cell-cell disruption and apoptosis induced by TNFα. Interestingly, HDLs isolated from COVID-19 survivor patients showed a trend towards a better protection than HDLs from non-survivors (p = 0.057). One limitation of our study could be the low number of COVID-19 patients tested. HDLs were isolated from each patient and tested individually or as a pool for their anti-inflammatory capacity and by western blot. These techniques are suitable only for a limited number of samples. COVID-19 and controls were well matched for sex and age and two controls were included for each case. The magnitude of the difference observed between groups is compatible with the small number of samples tested (in total 20 COVID-19 and 16 controls). Due to the limited amount of HDLs, we did not test for the reverse cholesterol transport capacity of HDLs from COVID-19 versus healthy subjects, but rather their anti-inflammatory and anti-apoptotic functions on endothelial cells. These properties are of particular importance in the context of COVID-19 in which the endothelium is exposed to the inflammatory cytokine storm 9 . The main findings of our study are that HDL particles from patients suffering COVID-19 are characterized by quantitative and qualitative abnormalities relative to those isolated from healthy subjects. Low levels of HDLs in ICU severe COVID-19 patients associated with an important dysfunction, characterized by a loss of protective effect towards endothelial cells in inflammatory conditions, supports the relevance of a potential therapy relying on HDL supplementation during the acute phase of COVID-19. Study population. COVID-19 patients were enrolled in a monocentric study conducted in the surgical ICU of Bichat Claude-Bernard University Hospital, Paris, France. Patients admitted for sepsis due to COVID-19 pneumonia were consecutively and prospectively included. The study was approved by our local ethics committee (Comité de Protection des Personnes Ile-de-France n° 1, Aposize study, RCB: A02267-46). Patient demographics, Simplified Acute Physiology Score II (SAPSII), Sepsis-related Organ Failure Assessment (SOFA) severity scores and clinical data were collected. Mortality at 28 days, duration of mechanical ventilation, number of days alive without mechanical ventilation at day 28, length of stay in the ICU and in the hospital, renal replacement therapy, vasopressor use, need for extracorporeal membrane oxygenation (ECMO), and tracheostomy were collected. A number of prone positioning procedures and ventilator-associated pneumonia were also collected. At admission (D1), D3 and D7, 5 mL EDTA blood samples were collected and the plasma was stored at − 80 °C. Plasma concentrations of total cholesterol (TC), HDL-C, LDL-C, and triglycerides (TG) were also measured at each time (D1, D3 and D7) in the Biochemistry Laboratory of Bichat Claude-Bernard Hospital by routine enzymatic assays (CHOL, HDL-C, LDL-C and TRIG methods, Dimension VISTA System, Siemens Healthineers). The reference values for these assays were as follows: HDL-C: > 1.40 mmol/L; TC: 4.40 < N < 5.2 mmol/L; and triglycerides: 0.50 < N < 1.7 mmol/L. According to the recommendations of the French National Authority for Health 2017 and the European Society of Cardiology 2016, LDL-C concentration targets have been established depending on vascular risk factors 51 . Control plasma from healthy volunteers were sampled from caregivers of the University Hospital Center of Reunion Island, after obtaining ethical committee approval (Comités de Protection des Personnes, Nord Ouest IV de Lille, France; number EudraCT / ID-RCB 2020-A01253-36). All participants gave their informed consent and were fasting before venous puncture. Blood was sampled in 10 mL EDTA tubes and plasma was stored at − 80 °C. Age, gender, body mass index (BMI) and comorbidities were collected for all participants. All methods were carried out in accordance with relevant guidelines and regulations. Lipoprotein isolation from plasma. Lipoproteins were isolated from EDTA-plasma by a classical 2-steps sequential density ultracentrifugation as described previously 52 . All the following procedure has been performed under a Class II microbiological safety workbench. Briefly, the density of plasma was adjusted to 1.063 using potassium bromide (KBr): 99 μL of KBr solution (d = 1.35) were added to 500 μL of plasma, which was then underlaid to 1 mL of KBr saline solution (d = 1.063). The 2 mL tube was then filled with 300 μL of KBr solution (d = 1.063). Ultracentrifugation was performed at 250,000 g for 20 h at 10 °C in a 50.4Ti rotor using a Beckman Coulter Optima L-80 XP Ultracentrifuge. The upper lipoprotein fraction containing LDLs (orange layer) was recovered as a single band, and the KBr was eliminated by 3 washing steps (3 × 500 μL of Saline EN (0.9% NaCl, 1 mM EDTA, and 0.025% NaN 3 )) using a centrifugal filter device (Amicon Ultra, 3 KDa cut off, UFC500396). The density of the bottom fraction (150 μL) resulting from the first ultracentrifugation and containing HDLs was adjusted to 1.21 g/mL with KBr (by adding 525 μL of KBr d = 1.35) and overlaid with 1 mL of KBr saline solution (d = 1.21). The second ultracentrifugation and subsequent washing steps were similar to those for the 1.063 lipoprotein fraction. 150 μL of HDL fraction were recovered, desalted and concentrated to 100 μL with saline EN solution. The total protein concentration was measured in triplicate using a Bradford Ultra kit (Expedeon, Cambridge, UK, EX-BFU05L). The purity of the HDL fraction was evaluated by sodium dodecyl sulfate-12% polyacrylamide gel electrophoresis (SDS-PAGE) and western blot analysis using rabbit anti-ApoA-I polyclonal antibody (Abcam, ab52945 used at 1:4,000 = 47.5 ng/mL). Protein identification and quantification. Raw mass spectrometry data were automatically processed using Proteome discoverer software (version 2.2.2.2.0, Thermo Fisher Scientific) for protein identification and quantification. MS and MS/MS spectra were searched against Uniprot human reference proteome database with canonical and isoform sequences (20,421 sequences; 04 June 2019) using SEQUEST HT search engine. The database search was performed with the following parameters: oxidized methionine and protein N-terminal acetylation were set as variable modifications, and Cysteine carbamidomethylation was set as a fixed modification. Trypsin was set as enzyme specific and two missed cleavages allowed. A mass tolerance of 10 ppm was used for precursor ions and 0.02 Da for product ions. The false-discovery rate (FDR) was fixed to 1% at the level of proteins and peptides using a target-reversed decoy database search strategy. A minimum of one unique peptide sequence with a Sequest score (Xcorr) ≥ 2 was used. For peptides with an Xcorr < 2, identification was confirmed by manual interpretation of corresponding MS/MS spectrum. A label-free quantification was performed on identified proteins by using the peak intensities of validated peptides for a given protein. Both unique and razor peptides were used for quantification. The list of proteins and peptides used for identification and quantification is shown in Supplementary material. Data processing. All computations were calculated with Excel (Microsoft) and Proteome discoverer software (version 2.2.2.2.0). Group protein abundance was defined as the mean of protein intensity of all samples for each group (D1 COVID+ vs control). Protein intensity was defined as the sum of peptide intensities of the considered protein for each individual. Abundance ratio is the ratio of the protein abundance of the COVID group to that of control subjects. Then, the Log (2) abundance ratio was calculated to show differences between groups. Western-blot analysis. Classical SDS-PAGE migration (12% polyacrylamide) was carried out in order to separate the proteins contained in the HDL fraction, followed by a liquid transfer to nitrocellulose membrane, as previously described 52 . The following primary antibodies were used: anti-paraoxonase 1 (Abcam, ab24261, used at 1:1000 dilution = 2 μg/mL), anti-serum amyloid A-1 (Abcam, ab190802, used at 1:10,000 dilution = 42 ng/mL), anti-alpha-1 antitrypsin (Calbiochem, catalog no. 178260, used at 1:1,000), anti-ApoA-I (Abcam, ab52945 used at 1:4,000 = 47.5 ng/mL). www.nature.com/scientificreports/ Health Products Safety) with the following references. Inserm: C 19-23, IDRCB: 2019-A01137-50, and MESR: DC-2016-2614. HUVECs were obtained from three human donors. Umbilical cords were resected rapidly after birth, and immediately stored in sterile saline solution (PBS). HUVECs were detached from umbilical veins using collagenase NB6 solution (Nordmark biochemical, N0003224, used at 5 mg/mL) for 10 min à 37 °C. Then, cells were cultured in complete endothelial cell growth medium EGM-2 (Lonza, Basel, Switzerland) at 37 °C in 5% CO 2 and maintained using standard cell culture. After reaching confluence, HUVECs were detached using 0.25% trypsin-EDTA and seeded at a concentration of 25,000 cells/well on gelatin-coated xCELLigence 16 well E-plates (Acea Biosciences, San Diego, CA, United States). Cell index was recorded continuously during cell growth until confluence, when a plateau was reached (until 70 h). HUVECs were serum-deprived for 6 h before stimulation with TNFα (10 ng/mL) in the presence or not of 50 μg/mL HDLs from COVID-19 or control subjects. Cell index measurements were automatically collected every 15 min from 0 to 120 h. TUNEL reaction and VE-Cadherin immunostaining. HUVECs were seeded at 50,000 cells/well in Millicell 8-well EZ Slides (Merck, Molsheim, France) in complete EGM-2 medium supplemented with 5% fetal calf serum. After reaching confluence, HUVECs were serum-deprived for 6 h before stimulation with TNFα (10 ng/mL) in the presence or not of 50 μg/mL HDLs from COVID-19 or control subjects for 24 h. Cells were rinsed with PBS and then fixed with 3.7% paraformaldehyde for 15 min at room temperature. Terminal transferase dUTP nick-end labeling reaction was performed according to the manufacturer's instructions (Roche, Cat. No. 11 772 465 001). After 5 min wash with PBS, cells were permeabilized with 0.1% Triton X100 in 0.1% sodium citrate for 2 min on ice. Positive control was realized with 500 U/mL DNAse I for 10 min at 20 °C. After washing with PBS, the reaction mixture containing fluorescein-labelled dUTP was added to the wells for 2 h at 37 °C in a humidified chamber. For VE-cadherin immunostaining, non-specific antigenic sites were blocked by 2.5% BSA in PBS and the slides were then incubated with anti-VE-Cadherin antibody (Abcam, Ab33168) at 1 μg/mL in 1% BSA for 90 min at room temperature in a humidified chamber. After 3 washes with PBS, a goat anti-rabbit conjugated to Alexa 594 nm was applied for 1 h at RT, in PBS containing 1% BSA. The slides were rinsed 5 times with PBS, incubated with 0.1 μg/mL DAPI for 10 min at RT, washed with PBS and finally with water before mounting in fluorescence medium and image captured using a NanoZoomer S60 digital slide scanner. Statistical analysis. 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Density, size, and apolipoprotein composition Alteration of high density lipoprotein subfraction distribution with induction of serum amyloid A protein (SAA) in the nonhuman primate Lipoprotein(a) and its potential association with thrombosis and inflammation in COVID-19: A testable hypothesis Systemic inflammatory response derived from lung injury caused by SARS-CoV-2 infection explains severe outcomes in COVID-19 Using xCELLigence RTCA instrument to measure cell adhesion ESC/EAS guidelines for the management of dyslipidaemias HDL antielastase activity prevents smooth muscle cell anoikis, a potential new antiatherogenic property This research was funded by FEDER RE0001897 (EU-Région Réunion-French State national counterpart), by Université de La Réunion (COVID-19 emergency seed funding) as well as by the BIOST Fédération. We thank Nicolas Bouscaren, Maxime Cournot and Lucie Auzanneau for their help in methodology and project management (H-COV-RUN study). OM, DC and ST designed the study. FB, ST, ZM, PR, ND, ATD, MLX, TR acquired the data. FB, OM, ND, BV, ST, analyzed the data. ST, ATD, DC, EV and MLX cared for the patients included in this study. OM, FB, ZM wrote the manuscript, and PR, BV, ND, ATD, PM and DC critically reviewed the manuscript. All authors reviewed the manuscript. OM and DC contributed equally to this work. The authors declare no competing interests. Supplementary Information The online version contains supplementary material available at https ://doi. org/10.1038/s4159 8-021-81638 -1.Correspondence and requests for materials should be addressed to O.M.Reprints and permissions information is available at www.nature.com/reprints.Publisher's note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. 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